Quality Engineering Manager
RxSense- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s or Master’s degree in Electrical Engineering, Physics, or a related field, along with 7+ years of hands-on experience in systems test and/or validation engineering. Demonstrated management and leadership experience is required, alongside competence using lab equipment such as oscilloscopes, logic analyzers, and power analyzers. Deep knowledge of failure analysis techniques and tools including FIB, SEM, TDR, VNA, and CSAM is also necessary, as is proficiency with high-speed interfaces like Serdes, PCIe, and DDR. Experience testing power sub-sections and familiarity with lower-speed interfaces such as SPI, I2C, and CAN bus are required, as well as proficiency in Python, Perl, C++, or other languages on UNIX/Linux. Experience in Failure Analysis for microprocessors, complex SOC devices, AI systems, servers, or network systems is preferred.
The Systems Quality and Reliability Lead will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new Groq AI/ML products. This includes conducting and leading debug and root-cause analysis of field RMAs, collaborating with various engineering teams, scaling root cause failure analysis capabilities, creating failure analysis reports, analyzing RMA and FA data to identify trends and drive resolution plans, overseeing hardware quality performance, managing operational performance of Failure Analysis at contract manufacturers, driving learning’s from RMA/FA back into relevant teams, and overseeing the set-up of new products into Failure Analysis operations.
AI inference technology for scalable solutions
Groq specializes in AI inference technology, providing the Groq LPU™, which is known for its high compute speed, quality, and energy efficiency. The Groq LPU™ is designed to handle AI processing tasks quickly and effectively, making it suitable for both cloud and on-premises applications. Unlike many competitors, Groq's products are designed, fabricated, and assembled in North America, which helps maintain high standards of quality and performance. The company targets a variety of clients across different industries that require fast and efficient AI processing capabilities. Groq's goal is to deliver scalable AI inference solutions that meet the growing demands for rapid data processing in the AI and machine learning market.